Carvalho, E, Williges F.
2015.
Sosa on Animal Knowledge and Emotions. Analytica. 19(1):143-160.
AbstractOur goal in this paper is to discuss the notion of animal knowledge in Judgment and Agency. Our approach has two stages. First, we offer a positive contribution, attempting to show that there is room for the introduction of emotions into an animal knowledge approach and into Sosa’s theory of competence. If we follow Sosa and conceive knowledge as a kind of action or successful performance, then emotions can contribute functionally for enhancing performance and are essential for the sharing of knowledge among social agents. Second, we offer criticism of Sosa’s integrative project. It’s not clear that reflective knowledge always improves animal knowledge; rather, in order to avoid regress, Sosa should recognize that we can have perfectly safe animal knowledge. Finally, we argue that reflective knowledge has a more marginal role than Sosa seems at first sight to suggest.
Giardino, S, DeLeo S, Ducati G.
2015.
``Quaternionic Dirac Scattering''. J. Phys. Math.. 6(1):1000130., Number 1
AbstractThe scattering of a Dirac particle has been studied for a quaternionic potential step. In the potential region an additional diffusion solution is obtained. The quaternionic solution which generalizes the complex one presents an amplification of the reflection and transmission rates. A detailed analysis of the quaternionic spinorial velocities shed new light on the additional solution. For pure quaternionic potentials, the interesting and surprising result of total transmission is found. This suggests that the presence of pure quaternionic potentials cannot be seen by analyzing the reflection or transmission rates. It has been observed by measuring the mean value of some operator.
Garcia, CS, Eckard D, Netto JC, Pereira CE, Müller I.
2015.
Bluetooth Enabled Data Collector for Wireless Sensor Networks. 2015 Brazilian Symposium on Computing Systems Engineering (SBESC). :54–57., Foz do Iguaçu: IEEE
AbstractThe wireless sensor networks (WSN) are gradually gaining attention because it is a key technology for the Internet of Things. For most of these networks, the data is usually collected in a manual way, by removing a memory unit or connecting the collector node to a personal computer. This is a constraint, because it demands the manipulation of the collector radio by the operator, which consists in a problem in practical applications. The main goal of this work is to present a non-invasive alternative way to collect the data by means of Bluetooth technology. The approach allows the development of hermetic devices, which is a desirable feature for practical deployment of the sensor nodes.